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Show Results For
- All HBS Web
(1,353)
- People (1)
- News (192)
- Research (1,017)
- Events (12)
- Multimedia (8)
- Faculty Publications (534)
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
- August 1996 (Revised March 2002)
- Exercise
Network Assessment Exercise: Abridged MBA Version
Designed to help students identify patterns in their approaches to developing networks of relationships. A "network" refers to the set of relationships that help people to advance professionally, get things done, and more generally, develop personally and... View Details
Keywords: Networks
"Network Assessment Exercise: Abridged MBA Version." Harvard Business School Exercise 497-002, August 1996. (Revised March 2002.)
- January 2020
- Background Note
Climate Change in 2020: Implications for Business
By: Rebecca M. Henderson, Sophus A. Reinert and Mariana Oseguera
This note provides general information about climate change and its implications for business. Included is an overview of climate change science and a number of its impacts, including rising sea levels, changing weather patterns and extreme weather, pressure on water... View Details
Keywords: Climate Change; Environmental Accounting; Agribusiness; Economic Growth; Energy Conservation; Energy Generation; Renewable Energy; Energy Sources; Non-Renewable Energy; Globalized Markets and Industries; National Security; Government Legislation; Operations; Corporate Social Responsibility and Impact; Problems and Challenges; Risk and Uncertainty; Natural Disasters; Natural Environment; Environmental Sustainability; Pollutants; Science-Based Business; Weather; Society; Technology
Henderson, Rebecca M., Sophus A. Reinert, and Mariana Oseguera. "Climate Change in 2020: Implications for Business." Harvard Business School Background Note 320-087, January 2020. (Click here for a complimentary copy on the Business & Environment Initiative’s site.)
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details
Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- 17 Aug 2011
- News
Americans Facing More Inequality, More Debt and Now More Trouble?
- August 2021
- Article
Anger Damns the Innocent
By: Katherine DeCelles, Gabrielle Adams, Holly S. Howe and Leslie K. John
False accusations of wrongdoing are common and can have grave consequences. In six studies, we document a worrisome paradox in perceivers’ subjective judgments of a suspect’s guilt. Specifically, we find that laypeople (online panelists; N = 4,983) use suspects’ angry... View Details
Keywords: Morality; Accusations; Deception; Guilt; Affect; Emotions; Behavior; Perception; Judgments; Decision Making
DeCelles, Katherine, Gabrielle Adams, Holly S. Howe, and Leslie K. John. "Anger Damns the Innocent." Psychological Science 32, no. 8 (August 2021): 1214–1226.
- 27 Jan 2003
- Research & Ideas
New Cluster Mapping Project Helps Companies Locate Facilities
towards enhancing its cluster, both individually and collectively through trade organizations. The Cluster Mapping Project reveals the detailed patterns of cluster location across the United States. It allows an evaluation of whether a... View Details
Keywords: by Sean Silverthorne
- 21 May 2013
- Working Paper Summaries
If Technology Has Arrived Everywhere, Why Has Income Diverged?
- April 2008 (Revised July 2011)
- Module Note
Strategic Renewal
By: David J. Collis and Jan W. Rivkin
While it is relatively easy to identify why strategies fail, it is much harder to explain how to fix a failing strategy or build an organization that can continuously renew its strategy. This note identifies some patterns that distinguish companies whose renewal... View Details
Collis, David J., and Jan W. Rivkin. "Strategic Renewal." Harvard Business School Module Note 708-503, April 2008. (Revised July 2011.)
- 2025
- Working Paper
How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil
By: Paula Rettl
While elite-cue effects on public opinion are well-documented, questions remain as
to when and why voters use elite cues to inform their opinions and behaviors. This
study contributes to answer these questions by testing whether voters react to cues
by charismatic... View Details
Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
Rettl, Paula. "How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil." Harvard Business School Working Paper, No. 24-022, October 2023. (Revised June 2025.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- March 2017
- Article
Entrepreneurial Beacons: The Yale Endowment, Run-ups, and the Growth of Venture Capital
By: Y. Sekou Bermiss, Benjamin J. Hallen, Rory McDonald and Emily Cox Pahnke
This paper investigates the social context of entrepreneurship in organizational sectors. Prior research suggests that firm foundings are driven by collective patterns of activity—that is, by patterns of prior foundings—including support from related markets as well as... View Details
Keywords: Signals; Social Salience; Venture Capital; Higher Education; Organizations; Entrepreneurship; Investment
Bermiss, Y. Sekou, Benjamin J. Hallen, Rory McDonald, and Emily Cox Pahnke. "Entrepreneurial Beacons: The Yale Endowment, Run-ups, and the Growth of Venture Capital." Strategic Management Journal 38, no. 3 (March 2017): 545–565.
- 06 Apr 2022
- News
How to Use Correlation to Make Predictions
- 05 Jun 2017
- News
5 Takeaways For The C-Suite From 2016's Vote Prediction Debacles
- 08 Mar 2012
- News
Demographics Could Give the U.S. Competitive Edge
- 2010
- Working Paper
On the Descriptive Value of Loss Aversion in Decisions under Risk
By: Eyal Ert and Ido Erev
Five studies are presented that explore the assertion that losses loom larger than gains. The first two studies reveal equal sensitivity to gains and losses. For example, half of the participants preferred the gamble "1000 with probability 0.5; -1000 otherwise"... View Details
Ert, Eyal, and Ido Erev. "On the Descriptive Value of Loss Aversion in Decisions under Risk." Harvard Business School Working Paper, No. 10-056, January 2010.
- 02 Jul 2020
- Working Paper Summaries
Inflation with COVID Consumption Baskets
Keywords: by Alberto Cavallo
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2008
- Article
Industrial Specialization and Regional Clusters in the Ten New EU Member States
By: Orjan Solvell, Christian H.M. Ketels and Goran Lindqvist
Purpose—The purpose of this paper is to provide an analysis of regional concentration patterns within ten new European Union (EU) member states, EU10, and make comparisons with EU15 and the US economy.
Design/methodology/approach—Industrial... View Details
Design/methodology/approach—Industrial... View Details
Keywords: Geographic Location; Policy; Employment; Industry Clusters; Industry Structures; European Union; United States
Solvell, Orjan, Christian H.M. Ketels, and Goran Lindqvist. "Industrial Specialization and Regional Clusters in the Ten New EU Member States." Special Issue on Macro and Micro Level Competitiveness Competitiveness Review 18, nos. 1/2 (2008): 104 – 130.